Expanding Sustainable Quality Control in Operations Management: Virtual and Augmented Reality
Call for papers for: The TQM Journal
Submission Portal Opens : 1 March 2021
Author Submission Deadline: 1 October 2021
The future of the Operations and Production Management firms depends on reverse logistic planning 4.0(Chiappetta Jabbour et al., 2020). The emergence of virtual technology has placed new emphasis on the roles of the planning and delivery of cost-effective process workflows. The utilization of emerging technologies, such as virtual reality (VR) and augmented reality (AR) across operations and logistics planning is of growing importance for a firm’s quality control process. In a technologically evolving environment, this requires appropriate and adaptive capabilities that enable firms to employ a mix of technologies ( AR and VR) within manufacturing, warehouse, and logistics operations. AR is based on human-machine interaction that accurately overlays the virtual environment in the real-world (Ong, Yuan, & Nee, 2008). According to (Craig, Sherman, & Will, 2009) VR is “media comprising interactive 3D computer simulations that sense the participant’s position and actions, provide synthetic feedback to one or more senses, [and yield] feeling immersed in the simulation” (p.11). VR is a form of artificial intelligence providing a first-hand virtual experience of the real-world environment. According to (Lopes de Sousa Jabbour et al., 2019) “virtualize business model requires changes across production, planning and the control of organizations.”(1533).
VR and AR technology can be used for new methods of in-house training for transferring the required knowledge to the learner without negatively impacting the productivity of running processes. This leads to well-trained workers able to deal with the requirements of flexible planning and logistics systems and ensures their operations’ high efficiency, especially in ramp-up situations. Questions surrounding how virtual reality can and should be used in manufacturing, warehouses, and logistics are attracting attention. Production and operations researchers have examined the implementation of virtual manufacturing (Webster & Sugden, 2003). Most emerging technologies, such as AR are capable of leveraging effective planning in, maintenance, assembly, and product design (Ong et al., 2008). Manufacturing focused researchers have examined ways in simulation and visualization to find impacts from evaluating manufacturing layouts (Mersinger & Westkamper, 2002). Logistics firms have applied augmented reality within warehouse operations to redefine practices and standardization of process (Wang, Wang, Song, & Su, 2020). Thus, production and operations management service providers are looking for flexible solutions to ensure their operations have high efficiency in an uncertain environment. Previous scholars have focused their attention on design and planning for warehouse operations (Kapliienko, Tabunshchyk, Tabunshchyk, Kapliienko, & Sylenko, 2019) and product maintenance in early design stages(Guo et al., 2018). When picking and packing, shipping schedule and advanced shipment notification are effectively balanced within a sound production and planning system. AR is particularly useful in many operations and production planning system, such as training employees (Westerfield, Mitrovic, & Billinghurst, 2015), and maintenance training (De Crescenzio et al., 2010).
Virtual reality has gained momentum in many industries and offering a cost-effective solution in the last few years (Pérez, Diez, Usamentiaga, & Garcia, 2019). Virtual reality brings added value for manufacturers and users, however, how VR or AR would help to understand the re-configure of the manufacturer system is still missing(Mersinger & WESTKÄMPER, 2002). Further exploration is needed in manufacturing, logistics, quality control, production, and facility management to understand how these emerging technologies ( i.e., AR and VR) can support operations. Despite the growing interest, the application of VR and AR is a fairly new field with roots back to the early 2000s. Applications of these technologies remain limited in reach and fragmented in the application (Bottani & Vignali, 2019). The literature reveals the need to take a more in-depth look into these evolving technologies (Azadeh, De Koster, & Roy, 2019). Therefore, the implementation of emerging technologies is a challenging issue in manufacturing, warehousing, and logistics while being centered around facility management, storage slotting, planning, and quality control.
Special Issue is to showcase research examining
This special issue invites researchers in production planning and logistic control to explore critical questions for the future development of a mixed reality environment for quality improvement. We encourage scholars to submit contributions that build on predictive planning with VR, identify and avoids logistic planning mistakes, and implement potential for optimization.
The primary purpose of this SI is to create a better understanding of the importance of a virtual planning environment and ensuring that planned activities are achieved as they are required. This CFP aims to invite researchers from operations, supply chain, and logistics fields to explore and examine complex, fundamental, and often conflicting operational, sociological, and economic factors influencing the application of virtual reality in operations and production management. We encourage authors to submit a manuscript that employs empirical surveys, experimental studies, case studies, longitudinal analysis, discrete and event mathematical modeling simulations, optimization, and simulation using system dynamics approaches.
We wanted to encourage research to discuss theoretical lenses ( for example, social exchange theory, resource dependency theory, attention base view, and transaction cost economics) for developing infield, which include an opportunity for theory development as well as to address key research questions. We expect that contributions to this SI could help production and logistics scholars understand how emerging technologies, changing the established practices in a way that leading firms to increase performance. The topic includes but not be limited to:
- How do AR and VR use for sustainable production and quality monitoring? Augmented Reality as a tool for Production and Quality Monitoring. For example, what factors influence the ways that individual experience and enhance understanding?
- How VR will impact on increasing warehouse planning and expanding collaboration. When discussing the collaboration with different vendors, the focus should be on, decision making with improved visualization, reduce collaborative company cost, minimizing coordination, or travel costs?
- How is the evaluation of vendor collaboration evolving in the context of early planning through improved visibility and transparency?
- How do new forms of monitoring and control evolve at the warehouse level, and how does it change behaviors and emotions within and across the firms?
- What are the required organizational changes in the existing technology portfolio to facilitate the integration of a mixed reality platform?
- Does a firm need to employ facial recognition software in its delivery apps, and how does it enhance the logistic last-mile delivery? How does VR make last-mile logistic delivery safe and more efficient?
- How could this mixed reality technology open new modes of location and facility design more efficiently and how manufacturer desing virtual business models?
- How could mixed reality technology be used in solving design problems and innovate existing processes at the warehouse?
- Provide state of the art literature review of the mixed reality platforms and establish a real connection between the logistic delivery and performance outcomes. What significant research questions could be addressed in the future, and what are new theoretical lenses that could contribute to developing a new perspective?
Manuscript to be submitted to the appropriate SI folder on ScholarOne by 1st October, 2021
Dr Usama Awan
Industrial Engineering and Management
The Lappeenranta-Lahti University of Technology LUT
P.O. Box 20, FI-538 51 Lappeenranta, Finland
Professor Charbel Jose Chiappetta Jabbour
Lincoln International Business School
University of Lincoln, England, UK
E-mail: [email protected]
Guest Editors Biography
Dr. Usama Awan is a senior researcher in Industrial engineering and management at the Lappeenranta-Lahti University of Technology LUT, Finland. Dr. Usama holds an Associate editor position for Congent Busines and Management and Encylopedia of United Nations Sustainable Development Goals ( UN SDGs). Also, he is an editorial review board member of the journal of cleaner production and Sustainability journal. According to Google Scholar, the Usama h-index is 12. Usama has over 33 (Scopus and web of science indexed) high-quality International peer-reviewed scientific publications, 7 book chapters, and 6 conference papers. He has also published papers in peer-reviewed journals, his research profile on Scopus (55849496400), and ORCID (0000-0002-6185-959) Researcher ID (K-5538-2013). His areas of specialization include supply chain sustainability, buyer-supplier relationship dynamics, business model innovations, digital supply chain, circular economy, and corporate environmental strategy. This includes some of the top tier marketing journals such as Technology forecasting and social change, Business Strategy and Environment, International Journal of Industrial Marketing, International Journal of Innovation Management, Sustainability Journal, Journal of Cleaner Production and International Journal of Innovation and Sustainable Development.
Charbel Jose Chiappetta Jabbour. He is a Global Chair Professor at Lincoln International Business School, University of Lincoln (UK), which was awarded UK Modern University of The Year in The Times and Sunday Times Good University Guide 2021. Previously, he was a Full Professor of Management at the ‘triple crown’ accredited Montpellier Business School (MBS) in France. He has been a visiting professor at a number of universities, with a strong collaboration with business schools from emerging markets, such as Unip and FIA in Brazil. He has published several articles in first-tier journals recognized by a wide range of academic rankings, such as the prestigious FINANCIAL TIMES FT50, CNRS (France), FNEGE (France), CABS (UK), and ABDC-list (Australia). He has been an Associate Editor of the Journal of Cleaner Production (Elsevier). He has recently included in the Mendeley list of the 2% most impactful researchers globally. He had worked for USP-University of Sao Paulo (Brazil) - a Top 100 Times Higher Education University for Research Reputation, UNESP-Sao Paulo State University (Brazil), and the University of Stirling (Scotland-UK). He was a visiting researcher at the University of London (UK) and the United Nations University (Japan). With almost 10,000 citations according to Google Scholar, his research impact is ranked as Top 2.5% globally, according to Research Gate. According to Scopus (August 2020), he is among the Top 5 most prolific authors in Green Supply Chain Management worldwide.
Azadeh, K., De Koster, R., & Roy, D. (2019). Robotized and automated warehouse systems: Review and recent developments. Transportation Science, 53(4), 917–945.
Bottani, E., & Vignali, G. (2019). Augmented reality technology in the manufacturing industry: A review of the last decade. IISE Transactions, 51(3), 284–310. https://doi.org/10.1080/24725854.2018.1493244
Chiappetta Jabbour, C. J., De Camargo Fiorini, P., Wong, C. W. Y., Jugend, D., Lopes De Sousa Jabbour, A. B., Roman Pais Seles, B. M., … Ribeiro da Silva, H. M. (2020). First-mover firms in the transition towards the sharing economy in metallic natural resource-intensive industries: Implications for the circular economy and emerging industry 4.0 technologies. Resources Policy, 66(September 2019), 101596. https://doi.org/10.1016/j.resourpol.2020.101596
Craig, A. B., Sherman, W. R., & Will, J. D. (2009). Developing virtual reality applications: Foundations of effective design. Morgan Kaufmann.
De Crescenzio, F., Fantini, M., Persiani, F., Di Stefano, L., Azzari, P., & Salti, S. (2010). Augmented reality for aircraft maintenance training and operations support. IEEE Computer Graphics and Applications, 31(1), 96–101.
Guo, Z., Zhou, D., Chen, J., Geng, J., Lv, C., & Zeng, S. (2018). Using virtual reality to support the product’s maintainability design: Immersive maintainability verification and evaluation system. Computers in Industry, 101, 41–50.
Kapliienko, O., Tabunshchyk, S., Tabunshchyk, G., Kapliienko, T., & Sylenko, S. (2019). Virtual Reality Implementation for Design of Warehouse Lighting. In 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) (Vol. 2, pp. 969–973).
Lopes de Sousa Jabbour, A. B., Rojas Luiz, J. V., Rojas Luiz, O., Jabbour, C. J. C., Ndubisi, N. O., Caldeira de Oliveira, J. H., & Junior, F. H. (2019). Circular economy business models and operations management. Journal of Cleaner Production, 235, 1525–1539. https://doi.org/10.1016/j.jclepro.2019.06.349
Mersinger, M., & WESTKÄMPER, E. (2002). Virtual reality for supporting the configuration of transformable assembly systems. Journal of Advanced Manufacturing Systems, 1(01), 107–112.
Ong, S. K., Yuan, M. L., & Nee, A. Y. C. (2008). Augmented reality applications in manufacturing: A survey. International Journal of Production Research, 46(10), 2707–2742. https://doi.org/10.1080/00207540601064773
Pérez, L., Diez, E., Usamentiaga, R., & Garc\’\ia, D. F. (2019). Industrial robot control and operator training using virtual reality interfaces. Computers in Industry, 109, 114–120.
Wang, W., Wang, F., Song, W., & Su, S. (2020). Application of augmented reality (AR) technologies in inhouse logistics. E3S Web of Conferences, 145. https://doi.org/10.1051/e3sconf/202014502018
Webster, M., & Sugden, D. (2003). Implementation of virtual manufacturing by a technology licensing company. International Journal of Operations & Production Management.
Westerfield, G., Mitrovic, A., & Billinghurst, M. (2015). Intelligent augmented reality training for motherboard assembly. International Journal of Artificial Intelligence in Education, 25(1), 157–172.